# SPDX-FileCopyrightText: Copyright (c) 2023 - 2025 NVIDIA CORPORATION & AFFILIATES.
# SPDX-FileCopyrightText: All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.


import pytest
import torch
from pytest_utils import import_or_fail


@import_or_fail("dgl")
@pytest.mark.parametrize("latlon", [[-27.0, 48.0], [0, 0], [62.0, -45.0]])
def test_coordinate_transform(latlon, pytestconfig):
    """Test coordinate transformation from latlon to xyz and back."""

    from physicsnemo.utils.graphcast.graph_utils import latlon2xyz, xyz2latlon

    latlon = torch.tensor([latlon], dtype=torch.float)
    xyz = latlon2xyz(latlon)
    latlon_recovered = xyz2latlon(xyz)
    assert torch.allclose(latlon, latlon_recovered), (
        f"coordinate transformation failed, {latlon} != {latlon_recovered}"
    )
